code: def configure_optimizers(self):
      return torch.optim.Adam(
          self.parameters(), lr=self.hparams.learning_rate
      )
  
file_path: clearml/examples/frameworks/pytorch-lightning/pytorch_lightning_example.py
imports: import sys
  from argparse import ArgumentParser
  import pytorch_lightning
  import torch
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchvision import transforms
  from torchvision.datasets.mnist import MNIST
  from clearml import Task
label_desc: Use image node_id 6 for calling the LitClassifier obj's underlying member method code with example usage: obj.configure_optimizers() and returns: torch